Applications » Complex Event Processing
Features
Feb 13, 2019 |
As we look forward into 2019, a select group of leaders in Big Data have stepped ahead of the rest. In this fourth annual People to Watch feature, we’re offering our readers a look at some of the best and brightest minds in Big Data whose hard work, dedication, and contributions reach far beyond analytics, and are shaping the direction that technology is taking us as a people. Read more…
Jan 25, 2019 |
Innovation is critical to the success of any organization. In the enterprise, the introduction and development of enterprise data layers are instrumental in driving innovation and business agility, but not in the way some people think. Read more…
Jan 18, 2019 |
Apache Kudu was designed specifically for use-cases that require low latency analytics on rapidly changing data, including time-series, machine data, and data warehousing. Its architecture provides for rapid inserts and updates coupled with column-based queries – Read more…
Dec 12, 2018 |
An organization that wants to power a transactional application using a single database that spans multiple data centers around the world without giving up ACIDity has few good options. One solution is Google Spanner, but it requires advanced hardware and is only available in Google data centers. Read more…
Sep 4, 2018 |
The folks behind Apache Flink just delivered something you may not have realized you needed: ACID guarantees in a stream processing framework. According to data Artisans, its new Streaming Ledger offering could even replace relational databases in some use cases, upping the ante in big data’s ongoing architectural war. Read more…
News In Brief
Jan 8, 2019 |
Chinese Internet giant Alibaba Group has acquired data Artisans, the German company behind the Apache Flink data processing framework. Alibaba is one of the biggest users of Flink, and plans to continue developing and Flink and contributing enhancements back to the open source project. Read more…
Nov 5, 2018 |
AI investments and deployment for driverless vehicles are speeding up, with another auto manufacturer partnering with a computer vision startup and an autonomous vehicle specialist deploying Nvidia’s Xavier platform.
Korean car maker Hyundai (OTCMKTS: Read more…
May 31, 2018 |
A drug discovery technique called “high content” screening analyzes data in microscopic images used to determine the effects of genetic and chemical treatments on cell cultures. However, the processing-intensive analysis of sets of thousands of pre-defined features can take half a day. Read more…
May 29, 2018 |
The latest release of the Apache Flink framework introduces the capability to execute exploratory SQL queries on data streams from a new SQL client, which will open the processing framework to a new class of users. Read more…
May 9, 2018 |
Among the consequences of big data is a wealth of relevant minutiae that can be used to train machine learning and other models. That often translates into processing-intensive steps required to train models to perform a specific task. Read more…
This Just In
May 4, 2017 |
SANTA MONICA, Calif., May 4, 2017 — Fastdata.io, the true real-time stream processing company, today announced it has raised a total of $1.5 million from NVIDIA and other investors. Read more…
May 21, 2015 |
SANTA CLARA, Calif., May 21, – DataTorrent, the leader in real-time big data analytics and creator of DataTorrent RTS, the world’s first enterprise-grade unified platform for both stream and batch processing on Hadoop, today announced it joined the Open Data Platform (ODP) as a Silver member. Read more…
May 21, 2015 |
ROCKVILLE, MD., May 21 — Ryft announced today the availability of the Ryft Open API Library, expanding the company’s Ryft ONE high-performance data analysis capabilities into existing big data environments. Read more…
May 19, 2015 |
May 19, 2015 – DataStax, the company that delivers Apache Cassandra™ to the enterprise, today announced the general availability of DataStax Enterprise 4.7 (DSE 4.7), the leading database platform purpose-built for the performance and availability demands of web, mobile and Internet of Things (IoT) applications. Read more…
